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PhD Studentship: Secure By Design Datasets – Distillation and Privatisation for Future Collaboration
and Signal Processing at the University of Surrey. This is the largest such UK institute and is ranked 1st for Computer vision research in the UK and 3rd in Europe (csrankings.org). The supervisory team
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Location: United Kingdom (Remote or Belfast, NI Office based) Position Overview We are seeking a Senior Machine Learning Researcher with deep expertise in computer vision and hands-on experience
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, mathematics or related field. Experience with computer programming languages (e.g., MatLab, Phyton), familiarity with geographic information systems and systems thinking methodologies and an interest in
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The University of Exeter and Oxford Instruments Plasma Technologies are offering a jointly funded PhD position in computational and machine learning modelling of low temperature plasmas. Oxford
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microbial bioinformatics. Our unique and comprehensive training programme empowers students to feel comfortable running sophisticated computer analyses alongside laboratory work and emphasises problem-based
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Medical Research Council in microbiology and microbial bioinformatics. Our unique and comprehensive training programme empowers students to feel comfortable running sophisticated computer analyses alongside
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students Subject areas Computer Sciences Engineering Mathematics & Statistics Physics & Astronomy Project description Inspections of offshore wind turbines, such as identifying damage or ice on turbine
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any questions about this opportunity, please contact Nicola Kirkby at info@diverse-cdt.ac.uk . Institutions This innovative, interdisciplinary PhD programme is a collaboration between academics from
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-year PhD studentship. The studentship will start on 1st October 2025. Project Description As Deep Learning and Generative AI applications continue to expand, optimizing computational efficiency is
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for an applicant with experience in statistical analysis or computer modelling (e.g., using Python or MATLAB), ideally both, and a keen interest in further developing and applying these skills within animal welfare